物理学报2012，Vol.61Issue(13)：549-553,5.
基于小波域可导阈值函数与自适应阈值的脉冲星信号消噪
A differentiable thresholding function and an adaptive threshold selection technique for pulsar signal denoising
高国荣 1刘艳萍 1潘琼1
作者信息
- 1. 西北农林科技大学理学院,杨凌712100
- 折叠
摘要
Abstract
Because of the extremely low signal-to-noise ratio of pulsar signals, it is difficult to suppress noise while preserving details by the traditional denoise methods. Therefore, a wavelet domain pulsar signal denoising method based on a differentiable thresholding function and an adaptive threshold selection technique is presented. The signal-to-noise ratio（SNR）, the root mean square error（RMSE）, the relative error of the peak value （REPV） and the error of the peak position （EPP） are used to evaluate the performance of the proposed denoising method. Experimental results show that the proposed method can remove the pulsar signal noise and keep the useful information effectively. At the same time, it can achieve a higher PSNR, a lower RMSE, a lower REPV and a lower EPP than the soft thresholding and hard thresholding methods.关键词
小波/脉冲星信号/自适应阈值/消噪Key words
wavelet/pulsar signal/adaptive threshold/denoising分类
信息技术与安全科学引用本文复制引用
高国荣,刘艳萍,潘琼..基于小波域可导阈值函数与自适应阈值的脉冲星信号消噪[J].物理学报,2012,61(13):549-553,5.
